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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Zhihua Cui Jianchao Zeng Guoji Sun State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 Division of System Simulation and Computer Application Taiyuan University of Science and Technology State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049

ISBN: (纸本)9781424404759

Integral-controller particle swarm optimization (ICPSO), influenced by inertia weight w and coefficient ψ is a new swarm technology by adding accelerator information. Based on stability analysis, the convergence conditions imply the negative selection principles of inertia weight w, and the relationship between w and ψ. To improve the computational efficiency, an adaptive strategy for tuning the parameters of ICPSO is described using a new statistical variable reflecting computational efficiency index-average accelerator information. The optimization computing of some examples is made to show that the ICPSO has better global search capacity and rapid convergence speed.

关键词： Particle swarm optimization Average Accelerator Information Integral-controller

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Modelling teens clothing fashion preferences using machine learning

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WSEAS Transactions on Information Science and Applications 2006年第10期3卷 2054-2065页

作者： Kokol, Peter Verlič, Mateja Križmarić, Miljenko Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor Slovenia Smetanova 17 2000 Maribor Slovenia College of Nursing Studies University of Maribor Zitna 15 2000 Maribor Slovenia

Fashion is one of the most visible media of the change in modern society. It reflects the change in aesthetic, economic, political, cultural and social life. Individuals and society use fashion to communicate their taste and lifestyle, teens for example employing different clothing styles. On the individual there are two basic forces involved namely the 'differentiating force" and the "socialising force". Those two forces are central in an individual's self - negotiation between the need for exhibiting and the need to conform to the social norms and are expressed in personal fashion styles. The aim of this paper is to model this expression on the case of teens, more precisely to model clothing fashion preferences of teens employing machine learning techniques.

关键词： Learning systems

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Model Identification for Spinning Reserve Management

Model Identification for Spinning Reserve Management

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Canadian Conference on Electrical and computer engineering (CCECE)

作者： Ch. Roethlisberger A.M. Gole U.D. Annakkage G. Andersson Department of Information Technology and Electrical Engineering ETH Zurich Zurich Zurich Switzerland Department of Electrical and Computer Engineering University of Manitoba Winnipeg Canada ETH Zurich Power System Laboratory Zurich Zurich Switzerland

This paper presents a model which facilitates the allocation of spinning reserve in a power network which includes a large HVDC infeed. The basic area control model of the power system is developed and subsequently fine-tuned using a non-linear optimization procedure. The model is then used to evaluate the frequency control performance in the face of a known load forecast considering NERC performance standards

关键词： Spinning Power system modeling Power system management HVDC transmission Nonlinear control systems Power system control Power systems Predictive models Frequency control Load forecasting

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Design and Implementation of Linux-based Application which supports CDMA and WiBro network

Design and Implementation of Linux-based Application which s...

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International Conference on Advanced Communication Technology (ICACT)

作者： Dohyung Kim Minhong Yun Sunja Kim Cheol-Hoon Lee Embedded S/W Research Division Electronics and Telecommnications Research Institute South Korea Department of Computer Engineering System Software Laboratory Chungnam National University South Korea

This paper describes the design and implementations of the first application service based on embedded Linux; Mobile Teller which uses WiBro network for data communications and CDMA network for voice communications. When a sender on a dual-mode terminal types texts, the texts are transmitted to a TTS server located in the Internet through WiBro network. Subsequently, the TTS server changes the texts into voices and transmits the voice data to the dual-mode terminal. At last the dual-mode terminal sends the voice to the receiver through the CDMA network. In case of noisy environment, Mobile Teller makes user to voice communication

关键词： Multiaccess communication Speech synthesis Mobile communication Application software Network servers Web pages Libraries Linux Web server Engines

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High SNR flexible top hat monopole probe for 1.5 T MRI

High SNR flexible top hat monopole probe for 1.5 T MRI

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作者： Mohammadzadeh, M. Shahabadi, M. Soltanian-Zadeh, H. Tavakoli, A. Rafiei, B. Javidnia, D. Oghabian, M.A. Department of Physics Amir-Kabir University of Technology Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Department of Electrical Engineering Amir-Kabir University of Technology Tehran Iran Medical Imaging Center Imam Khomeyni Hospital Tehran Iran Research Center for Science and Technology in Medicine Tehran University of Medical Sciences Tehran Iran

In this paper, design principles and application of a thin and flexible intravascular top hat monopole probe with increased signal-to-noise ratio (SNR) and improved longitudinal and radial coverage are described and compared with the conventional monopole probe. The top hat probe is constructed by removing a segment of the shield of a coaxial cable. A flexible thin copper foil in contact with the inner conductor of the cable is added to the end section of the cable. The copper foil acts as an antenna top hat load increasing the uniformity of the current distribution on the probe and establishes a uniform region of SNR distribution around the probe. Improvement of the SNR distribution of the top hat probe relative to the conventional monopole probe is evaluated using quantitative indices. Experimental results show that for the top hat probe, the ratio of the maximum image SNR to its relative standard deviation (SR) is 2.73 times higher than that of a conventional probe. © 2006 IOP Publishing Ltd.

关键词： Medical imaging

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Estimation Diversity with Multiple Heterogeneous Sensors

Estimation Diversity with Multiple Heterogeneous Sensors

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IEEE International Conference on Communications (ICC)

作者： Shuguang Cui Jinjun Xiao Andrea J. Goldsmith Zhi-quan Luo H. Vincent Poor Department of Electrical and Computer Engineering University of Arizona Tucson Tucson AZ USA Department of Electrical and Computer Engineering University of Minnesota Minneapolis MN USA Wireless System Laboratory Department of Electrical Engineering University of Stanford Stanford CA USA Department of Electrical Engineering Princeton University Princeton NJ USA

We investigate distributed estimation based on measurements from multiple wireless sensors. For the same target, different sensors have different observations, which are modeled by additive observation noises of different variances. The observations are transmitted using (analog) amplify-and-forward transmissions from the sensors over non-ideal wireless channels to a fusion center, where they are combined to generate an estimate of the observed target. Our goal is to minimize total end-to-end distortion under certain power constraints, assuming the Best Linear Unbiased Estimator (BLUE) is used. We analyze the system outage performance, and show an achievable diversity gain of order K, which is the number of sensors. We also show that by turning off bad sensors, i.e., sensors with bad channels, we achieve adaptive power gain without losing diversity gain, where the adaptive power gain is similar to the array gain achieved in Multiple Input Single Output (MISO) systems when channel conditions are known to the transmitter.

关键词： Sensor arrays Sensor systems Wireless sensor networks Diversity methods Additive noise Sensor fusion Fusion power generation Performance analysis Turning Adaptive arrays

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Determination of Layer Specific Magnetization and Anisotropy Fields in Multilayer Garnet Films from FMR and VSM Measurements

Determination of Layer Specific Magnetization and Anisotropy...

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International Conference on Magnetics (INTERMAG)

作者： I. Nistor C. Holthaus C. Krafft I. D. Mayergoyz Electrical and Computer Engineering University of Maryland College Park MD USA Laboratory of Physical Science College Park MD USA University System of Maryland Adelphi MD US

A new method is developed to measure the magnetizations in each layer of a multi-layered garnet film. This method combines a single VSM and multiple FMR measurements to completely characterize the magnetic properties of layers. This method can be immediately extended to the case of multiple layers or different materials, as long as the requirement for resolving the FMR absorption peaks for different layers is satisfied.

关键词： Anisotropic magnetoresistance Magnetic multilayers Garnet films Magnetic resonance Magnetic field measurement Saturation magnetization Educational institutions Performance evaluation Magnetic properties Optical sensors

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Fuzzy Edge Preserving Smoothing Filter Using Robust Region Growing

Fuzzy Edge Preserving Smoothing Filter Using Robust Region G...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： A. Mehrtash S. Vahdat H. Soltanian-Zadeh Electrical and Computer Engineering Department University of Tehran Tehran Iran School of Electrical Engineering Sharif University of Technology Tehran Iran Henry Ford Health System Radiology Image Analysis Laboratory Detroit USA USA Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

Smoothing, while preserving edges, has always been a major challenge in image processing. In this paper, we propose a new approach that uses segmentation in order to avoid inter-region smoothing thus preserving the edges. It is common to smooth the image prior to region growing. The opposite procedure does not work properly in the presence of noise since region growing is very noise sensitive. To overcome this difficulty we adapted a robust region growing algorithm. Since region growing is very resource consuming, we do not perform it for every pixel. Instead, we divide the image into a number of overlapping blocks for which we carry out the segmentation. Then, we use the results for some of the core pixels in that block. Now that the regions are known, we proceed to smooth each region by a fuzzy approach emphasizing the pixels residing in it. The performance of this filter is compared to that of the bilateral filter and it is shown that the new method generates superior results.

关键词： Smoothing methods Filters Anisotropic magnetoresistance Filtering Pixel Image segmentation Noise robustness Noise reduction Image processing Partial differential equations

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Acoustic model adaptation using first-order linear prediction for reverberant speech

Acoustic model adaptation using first-order linear predictio...

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作者： Takiguchi, Tetsuya Nishimura, Masafumi Ariki, Yasuo IBM Tokyo Research Laboratory Yamato-shi 242-8502 Japan Department of Computer and System Engineering Kobe University Kobe-shi 657-8501 Japan Kobe University Japan IEEE Information Processing Society of Japan Japan Acoustical Society of Japan Japan Speech Technology Group TRL IPSJ Japan ASJ IEEE JSAI ITE IIEEJ

This paper describes a hands-free speech recognition technique based on acoustic model adaptation to reverberant speech. In hands-free speech recognition, the recognition accuracy is degraded by reverberation, since each segment of speech is affected by the reflection energy of the preceding segment. To compensate for the reflection signal we introduce a frame-by-frame adaptation method adding the reflection signal to the means of the acoustic model. The reflection signal is approximated by a first-order linear prediction from the observation signal at the preceding frame, and the linear prediction coefficient is estimated with a maximum likelihood method by using the EM algorithm, which maximizes the likelihood of the adaptation data. Its effectiveness is confirmed by word recognition experiments on reverberant speech. Copyright © 2006 The Institute of Electronics, Information and Communication Engineers.

关键词： Speech recognition

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An Effective Policy Management Framework Using RBAC model for Service Platform based on Components

An Effective Policy Management Framework Using RBAC model fo...

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International Conference on Software engineering Research, Management and Applications (SERA)

作者： Eun-Ae Cho Chang-Joo Moon Dae-Ha Park Doo-Kwon Baik Software System Laboratory Department of Computer Science & Engineering Korea University Seoul South Korea Department of Computer Science Konkuk University Chungju Chungcheongbuk South Korea Department of Computer and Information Science Korea Digital University Korea University Seoul South Korea

User access control is one of the core parts in the developing Internet field. However, in home network service platform and Web service platform, there is no concrete research yet. Therefore, in this paper, we propose the supplemented authorization policy management framework based on RBAC model in the network environment, especially, OSGi service platform and Web service platform. The proposed access control framework tries to enhance the efficiency, assure the privacy, and provide the convenience at the same time. In conclusion, we provide the base to implement the service platform by proposing the effective, safe and convenient framework in authorization and user administration part

关键词： Authorization Web services Access control Authentication Object oriented modeling Home automation Privacy computer science Environmental management Application software

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